Continuous Genetic Algorithms in the Optimization of Logistic Networks: Applicability Assessment and Tuning

Globalization opens up new perspectives for handling goods distribution in logistic networks. However, establishing an efficient inventory policy is challenging by virtue of the analytical and computational complexity. In this study, the goods distribution process that was governed by the order-up-to policy, implemented in either a distributed or centralized way, was investigated in the logistic systems with complex interconnection topologies. Uncertain demand may be imposed at any node, not just at conveniently chosen contact points, with a lost-sales assumption that introduces a non-linearity into the node dynamics. In order to adjust the policy parameters, the continuous genetic algorithm (CGA) was applied, with the fitness function incorporating both the operational costs and customer satisfaction level. This study investigated how to select the parameters of the popular inventory management policy when operating in the non-trivial networked structures. Moreover, precise guidelines for the CGA tuning in the considered class of problems were provided and evaluated in extensive numerical experiments.

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Quadratic Sensitivity Analysis of Fixtures and Locating Schemes for Rigid Parts

Journal of Manufacturing Science and Engineering ◽

10.1115/1.1365397 ◽

2000 ◽

Vol 123 (3) ◽

pp. 462-472 ◽

Cited By ~ 40

Author(s):

Johan S. Carlson

Keyword(s):

Sensitivity Analysis ◽

Numerical Experiments ◽

Geometric Constraints ◽

Fixture Design ◽

Practical Relevance ◽

Sensitivity Equation ◽

Relative Gain ◽

Contact Points ◽

Scheme Evaluation ◽

Error Interaction

The main purpose of locating schemes are to position parts. The locating scheme utilizes tooling elements, referred to as locators, to introduce geometric constraints. A rigid part is uniquely positioned when it is brought into contact with the locators. By using kinematic analysis we derive a quadratic sensitivity equation that relates position error in locators with the resulting displacement of the part held by the locating scheme. The sensitivity equation which depends on the locator positions and the workpiece geometry around the contact points can be used for locating scheme evaluation, robust fixture design, tolerancing and diagnosis. The quadratic sensitivity equation derived in this paper is novel by adequate dealing with locator contact at nonprismatic surfaces, nonsmall errors, locator error interaction effects and locator errors in arbitrary directions. Theory for comparing the relative gain in precision by using the quadratic sensitivity equation instead of the linear is developed. The practical relevance of the quadratic sensitivity equation is tested through numerical experiments.

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Shelf life-based inventory management policy for RF monitored warehouse

International Journal of RF Technologies ◽

10.3233/rft-181794 ◽

2018 ◽

Vol 9 (3-4) ◽

pp. 101-111 ◽

Cited By ~ 1

Author(s):

R. Micale ◽

G. La Scalia

Keyword(s):

Shelf Life ◽

Inventory Management ◽

Management Policy

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Design and Implementation of a Computerized Drug Inventory Management Information System Using ASP.NET MVC

Diyala Journal of Engineering Sciences ◽

10.24237/djes.2020.13410 ◽

2020 ◽

Vol 13 (4) ◽

pp. 80-90

Author(s):

Shaimaa K. Ahmed ◽

Zobeda H. Naji ◽

Yousif N. Hatif ◽

Meaad Hussam

Keyword(s):

Information System ◽

Inventory Management ◽

Management Information System ◽

New Technologies ◽

Early Stage ◽

System Development ◽

Management Information ◽

Expiry Date ◽

Iterative Model ◽

Distribution Process

Automation in the drug inventory distribution process is helpful to pharmacist. Pharmacy management has kept paper record in filing cabinets. Managing a very large pharmacy with records on papers will be tedious and difficult to keep track ofinventories with regards to the drugs in the store, expiry date, quantity of drugs available based on the categories and their functions. A Drug Inventory Management Information System(DIMIS) is basically a computer system that can manage all the information to allow pharmacists to do their jobs faster and more effective in real time. These jobs include: dispensing of drugs, drug regulation, and the sale of these drugs. The developed methodology adopted in the implementation of the software is iterative model of system development life cycle. This method produces an early stage of model. The development of the system is based on using new technologies like AJAX, ASP.NET MVC 5, Bootstrap, HTML and CSS which make the user interface more interactive. C#.NET language was used as server language whereas as a database server Microsoft SQL server 2012 was utilized. DIMIS is able to search and check a huge number and expiration date of drug in the purchase as well as delivery records. These attributes and functions are powerful, efficient and subsequently useful in patient's safety and cost containment

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Analisis Pengendalian Persediaan Barang Pupuk Dengan Metode Economic Order Quality Pada Perusahaan Maju Mapan

Wikara National Economic and Social Research Development ◽

10.54010/jurnalwikara.v2i1.6 ◽

2021 ◽

Vol 2 (1) ◽

pp. 7-14

Author(s):

Dini Fitriani

Keyword(s):

Inventory Management ◽

Management Policy ◽

Economic Order Quantity ◽

Economic Order ◽

Order Quantity ◽

Inventory Cost ◽

Sales Process ◽

Main Activity ◽

A Company

The Maju Mapan Company is a company engaged in trading, whose main activity is selling fertilizer types. In carrying out sales activities, it is closely related to merchandise inventory which is an important component that must be available for the smooth running of the sales process. This study aims to determine the quantity of economical fertilizer merchandise inventory using the Economic Order Quantity method. From the results of calculations that have been done by comparing the current trading goods inventory management policy in the company with the EOQ method in the procurement of merchandise, it can be concluded that by using the EOQ method, the quantity of EOQ orders is higher than the order according to the company, but if the company uses the method EOQ, the company will save an inventory cost of Rp. 48,546,480

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Modelling Inventory Management System at Distribution Company: Case Study

Scientific Journal of Riga Technical University Computer Sciences ◽

10.2478/v10143-010-0047-1 ◽

2010 ◽

Vol 42 (1) ◽

pp. 87-93 ◽

Cited By ~ 2

Author(s):

Oksana Soshko ◽

Vilmars Vjakse ◽

Yuri Merkuryev

Keyword(s):

Inventory Management ◽

Optimization Model ◽

Management System ◽

Current Problem ◽

Simulation Models ◽

Uncertain Demand ◽

Inventory Models ◽

Inventory Management System ◽

Distribution Company

Modelling Inventory Management System at Distribution Company: Case Study The paper presents a case study on improving inventory management at the distribution company which operates in Latvia. The case study is focused on application of different modelling approaches in inventory management under uncertain demand, namely inventory models, simulation models and optimization model. The functionality of each model as well as its benefits for the current problem is discussed in the end of the paper.

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Inventory Management in Competition Environment Based on Customer Service

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.58-60.2141 ◽

2011 ◽

Vol 58-60 ◽

pp. 2141-2146

Author(s):

Xiao Di ◽

Bao Xing

Keyword(s):

Supply Chain ◽

Supply Chains ◽

Customer Service ◽

Inventory Management ◽

Demand Uncertainty ◽

Management Policy ◽

Management Decision ◽

Inventory Level ◽

On Demand ◽

Optimal Policies

Based on demand uncertainty, the paper studies inventory management decision of two competing supply chains from the perspective of customer service. The paper mainly discusses two different inventory strategies, which are widely used, that is, consignment stock and VMI, and analyzes the optimal policies under three competitive scenarios, which consist of using consignment stock in both supply chains (CC mode), using VMI in both supply chains (DD mode), and using consignment stock in one supply chain but VMI another (VC mode). The paper compares equilibrium inventory level and profit of supply chain in different competitive modes, and concludes that both supply chains use VMI is equilibrium, which means that when manufacturers have right to choose inventory management policy, they prefer VMI. But it isn’t paradoxical with the phenomenon that consignment stock is common in reality, because manufacturers are forced to use consignment by retailer’s channel power.

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